N. Qureshi

First name
N.
Last name
Qureshi
Qureshi, N., Woods, B., de Faria, N., Goncalves, S., Cox, E., Bee, L., et al. (2023). Alternative cascade-testing protocols for identifying and managing patients with familial hypercholesterolaemia: systematic reviews, qualitative study and cost-effectiveness analysis. Health Technol Assess, 27, 1-140. http://doi.org/10.3310/ctmd0148
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Akyea, R. K., Iyen, B., Georgiopoulos, G., Kai, J., Qureshi, N., & Ntaios, G. (2022). Cardiovascular outcomes and mortality after incident ischaemic stroke in patients with a recent cancer history. Eur J Intern Med. http://doi.org/10.1016/j.ejim.2022.12.006
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Evans, W., Akyea, R. K., Weng, S., Kai, J., & Qureshi, N. (2022). Identifying Patients with Bicuspid Aortic Valve Disease in UK Primary Care: A Case-Control Study and Prediction Model. J Pers Med, 12. http://doi.org/10.3390/jpm12081290
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Akyea, R. K., Georgiopoulos, G., Iyen, B., Kai, J., Qureshi, N., & Ntaios, G. (2022). Comparison of risk of serious cardiovascular events after haemorrhagic versus ischaemic stroke: a population-based study. Thromb Haemost. http://doi.org/10.1055/a-1873-9092
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Iyen, B., Vinogradova, Y., Akyea, R. K., Weng, S., Qureshi, N., & Kai, J. (2022). Ethnic disparities in mortality among overweight or obese adults with newly diagnosed type 2 diabetes: a population-based cohort study. J Endocrinol Invest. http://doi.org/10.1007/s40618-021-01736-9
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Weng, S. F., Kai, J., Guha, I. N., & Qureshi, N. (2015). The value of aspartate aminotransferase and alanine aminotransferase in cardiovascular disease risk assessment. Open Heart. http://doi.org/10.1136/openhrt-2015-000272
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Weng, S. F., Kai, J., Neil, A., Humphries, S. E., & Qureshi, N. (2015). Improving identification of familial hypercholesterolaemia in primary care: derivation and validation of the familial hypercholesterolaemia case ascertainment tool (FAMCAT). Atherosclerosis. http://doi.org/10.1016/j.atherosclerosis.2014.12.034
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Little, I., Vinogradova, Y., Orton, E., Kai, J., & Qureshi, N. (2017). Venous thromboembolism in adults screened for sickle cell trait: a population-based cohort study with nested case-control analysis. BMJ Open. http://doi.org/10.1136/bmjopen-2016-012665
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Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data?. PLoS One. http://doi.org/10.1371/journal.pone.0174944
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Zghebi, S. S., Rutter, M. K., Ashcroft, D. M., Salisbury, C., Mallen, C., Chew-Graham, C. A., et al. (2018). Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design. BMJ Open. http://doi.org/10.1136/bmjopen-2017-020926
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